sumStats                package:ScISI                R Documentation

_A _f_u_n_c_t_i_o_n _t_o _c_a_l_c_u_l_a_t_e _s_o_m_e _s_u_m_m_a_r_y _s_t_a_t_i_s_t_i_c_s _b_e_t_w_e_e_n _a_n _t_w_o
_i_n_t_e_r_a_c_t_o_m_e_s

_D_e_s_c_r_i_p_t_i_o_n:

     This function takes in a named list of in silico interactomes (by
     its incidence matrix representation of the bi-partite graph). The
     function compares each interactome pairwise (with itself as well
     as with each other interactome) and generates some summary
     statistics: e.g. the number of redundant protein complexes, the
     number of protein sub-complexes one interactome may posses with
     respect to some other interactome (possibly itself), etc.

_U_s_a_g_e:

     sumStats(imList, pathToSave = NULL)

_A_r_g_u_m_e_n_t_s:

  imList: A named list of in silic interactomes (incidence matrix)

pathToSave: A character vector of a path location to where the summary
          statistics will be saved

_V_a_l_u_e:

redundantM: A symmetric matrix with the row and column names named by
          the interactome names. The shows the number of redundancies
          (i.e. the number of repeated protein complexes) within two
          interactomes

    subM: A matrix with the row and column names named by the
          interactome names. Each entry details how many protein
          sub-complexes are found within the interactome indexed by the
          row with respect to the interactome indexed by the column

_A_u_t_h_o_r(_s):

     TC

_E_x_a_m_p_l_e_s:

     #gavin <- getAPMSData("Gavin")
     #krogan <- getAPMSData("Krogan")
     #imList <- vector("list", length=2)
     #imList[[1]] <- gavin
     #imList[[2]] <- krogan
     #names(imList) <- c("Gavin", "Krogan")

     #sumStats(imList)

